Validating the Kinematic Wave Approach for Rapid Soil Erosion Assessment and Improved BMP Site Selection to Enhance Training Land Sustainability

Abstract

The rapid gully erosion prediction model, nLS+, was calibrated and validated at several military installations to identify areas of erosion potential and optimal locations for siting erosion-preventing best management practices. The model is operated using a geographic information system with input data from commonly available landcover datasets and digital elevation models. The computed model output is a unitless estimate of the energy of surface runoff water with the relationship between actual gully locations and accumulated energy then used to make predictions. Data acquisition and preparation times are minimal compared to existing watershed erosion models. While the nLS+ model can be effective in identifying the location of existing gullies, it can also be operated in a forecasting mode to assess the impact of future or planned military training exercises on the formation of new gullies. Using this approach, land managers can quickly evaluate gully potential across their training areas while saving significant time normally spent on ground and air surveys.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2014
Accession Number
ADA602246

Entities

People

  • J. M. Hutchinson
  • Stacy L. Hutchinson

Organizations

  • Kansas State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Armored Vehicles
  • Computers
  • Databases
  • Ecology
  • Environment
  • Environmental Protection
  • Geographic Information Systems
  • Geographic Regions
  • Geography
  • Information Science
  • Information Systems
  • Management Personnel
  • Military Training
  • Natural Resources
  • Surveys
  • Topography
  • Training

Readers

  • Computational Modeling and Simulation
  • Geotechnical Engineering.
  • Naval Personnel Management